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CS162 Week 1 Kyle Dewey. Overview Basic Introduction CS Accounts Scala survival guide.

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Presentation on theme: "CS162 Week 1 Kyle Dewey. Overview Basic Introduction CS Accounts Scala survival guide."— Presentation transcript:

1 CS162 Week 1 Kyle Dewey

2 Overview Basic Introduction CS Accounts Scala survival guide

3 Office Hour Tuesdays from 11 AM - 12 PM in Phelps 1413 (the TA office) Also by appointment

4 Google Group We have a Google group (162w13) Feel free to discuss, even post test cases Pretty much anything CS162-related that doesn’t involve sharing code

5 Communication Policy Assume I’ll take 24 hours to respond to any email I’m usually a lot faster than that Google group is usually a better resource I can still answer it Other people can see it Someone else may respond faster

6 CS Account You will need a CS account One can be created at: https://accounts.engr.ucsb.edu/create/ https://accounts.engr.ucsb.edu/create/

7 Scala

8 What? A non-Java language that runs on the Java Virtual Machine (JVM) Essentially a “better Java” Better suited for object-oriented programming and functional programming

9 Why Less boilerplate More expressive (read: less code) Think more, type less Clarity

10 Properties and Idioms Everything is an object (unlike Java) Emphasis on immutable state In other words, avoid reassignment

11 Variable Declaration Two forms: val and var val creates a runtime constant, much like final in Java var creates a typical mutable variable (HIGHLY discouraged and will typically negatively impact grade)

12 Method Definition Uses the def reserved word Everything is public by default The result of the last expression in the function is what is returned - no need for return (which should be avoided)

13 Type Inferencer Can automatically determine the type of Variables Function return values Anonymous function parameters Not completely foolproof, but usually excellent

14 Higher-Order Functions Functions can take other functions as parameters, or even return functions Functions (well, closures) can be created on the fly Note: this is strictly more powerful than function pointers For the JavaScript people: think callbacks

15 Classes Created with the class reserved word Defaults to public access Constructors are not typical

16 Traits Created with the trait reserved word Like a mixin in Ruby Think Java interfaces, but they can have methods defined on them More powerful than that, but not relevant to this course

17 object Used in much the same way as static is in Java Defines both a class and a single instance of that class (and only a single instance) Automated implementation of the Singleton design pattern Keeps everything consistently an object

18 equals, ==, and eq As with Java, if you want to compare value equality, you must extend equals Case classes automatically do this for you However, instead of saying x.equals(y), merely say x == y If you want reference equality, say: x eq y

19 Case Classes Behave just like classes, but a number of things are automatically generated for you Including hashCode, equals, and getters Typically used for pattern matching

20 Pattern Matching Used extensively in Scala Like a super-powerful if Used with the match reserved word, followed by a series of case s

21 null In general, null is an excellent wonderful/terrible feature Often poorly documented whether or not null is possible Checking for impossible cases Not checking for possible cases

22 Option A solution: encode null as part of a type For some type, say Object, if null is possible say we have a NullPossible Scala has this, known as Option In general, if null is possible, use Option

23 Tuples For when you want to return more than one thing Can be created by putting datums in parenthesis Can pattern match on them

24 Looping Scala has a while loop, but its use is highly discouraged (again, point loss) It’s not actually needed General functional programming style is recursion, but this is usually overkill

25 Taking a Step Back... When do we write loops? Transform data Scan data Aggregate data Higher-order functions allow us to abstract away much of this

26 map Applies a given function to each element of a sequence Returns a new sequence that holds the results

27 filter Takes a predicate, i.e. a function that returns true or false Applies the predicate to each item in a list A new list is returned that contains all the items for which the predicate was true

28 foldLeft Extremely flexible, but sometimes unwieldy Takes a base element Takes a function that takes a current result and a current list element The function will manipulate result with respect to the current element

29 Compiling/Running Code Use scalac to compile code Alternatively use fsc, the fast Scala compiler Use scala to run the code scala, scalac, and fsc are all on CSIL

30 Running the REPL Just type scala at the command line Pretty nifty to quickly check to see what an expression does

31 Development If you want an IDE, IntelliJ IDEA has been recommended Personally, I use emacs and the scala-mode plugin (needs to be downloaded)

32 Assignment 1 Due Tuesday Will need most everything shown here Hint hint useful APIs: Seq.mkString Seq.reverse Seq.head Seq.tail


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